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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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Papers (including subtopics)

Trainable EEG Interpolation and Structure-Sharing Dual-Path Encoders for Brain-Assisted Target Speaker Extraction AAAI 2026 Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models WACV 2026 Training-Free Spatio-temporal Decoupled Reasoning Video Segmentation with Adaptive Object Memory AAAI 2026 TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space AAAI 2026 Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature WACV 2026 TrajRAG: Retrieving Geometric-Semantic Experience for Zero-Shot Object Navigation CVPR 2026 Transfer Conformal Predictive Inference for Regression JMLR 2026 Transfer Learning via Regularized Random-effects Linear Discriminant Analysis JMLR 2026 Transformer with Controlled Attention for Synchronous Motion Captioning AAAI 2026 TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model AAAI 2026 Transparent Semantic Change Detection with Dependency-Based Profiles EACL 2026 TR-EduVSum: A Turkish-Focused Dataset and Consensus Framework for Educational Video Summarization EACL 2026 TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems AAAI 2026 T-Retriever: Tree-based Hierarchical Retrieval Augmented Generation for Textual Graphs AAAI 2026 TReX: Tokenizer Regression for Optimal Data Mixture EACL 2026 TRT: Harnessing Tensor Ring Transformer for Hyperspectral Image Super-Resolution AAAI 2026 Trusted Multi-view Learning for Long-tailed Classification AAAI 2026 TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction AAAI 2026 Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty AAAI 2026 TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective AAAI 2026 TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning AAAI 2026 TurboTest: Learning When Less is Enough through Early Termination of Internet Speed Tests NSDI 2026 Twin-T & TwintVQA: A Reliable Structure-Detail Separating VLM and a Comprehensive Benchmark for Chart and Table Tasks CVPR 2026 U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions AAAI 2026 UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets WACV 2026